SOTAVerified

Denoising

Denoising is a task in image processing and computer vision that aims to remove or reduce noise from an image. Noise can be introduced into an image due to various reasons, such as camera sensor limitations, lighting conditions, and compression artifacts. The goal of denoising is to recover the original image, which is considered to be noise-free, from a noisy observation.

( Image credit: Beyond a Gaussian Denoiser )

Papers

Showing 851860 of 7282 papers

TitleStatusHype
Enhancing MMDiT-Based Text-to-Image Models for Similar Subject GenerationCode1
DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform GenerationCode1
Adaptive Graph Contrastive Learning for RecommendationCode1
Argmax Flows and Multinomial Diffusion: Learning Categorical DistributionsCode1
Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection SystemsCode1
A Bayesian Model of Dose-Response for Cancer Drug StudiesCode1
Entity-Level Text-Guided Image ManipulationCode1
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEGCode1
Enhancing Creative Generation on Stable Diffusion-based ModelsCode1
Continuous Speculative Decoding for Autoregressive Image GenerationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81Unverified
2Pixel-shuffling DownsamplingPSNR38.4Unverified
3TWSCPSNR37.93Unverified
4CBDNet(Syn)PSNR37.57Unverified
5MCWNNMPSNR37.38Unverified
6Han et alPSNR35.95Unverified
7FFDNetPSNR34.4Unverified
8TNRDPSNR33.65Unverified
9CDnCNN-BPSNR32.43Unverified
10NLRNPSNR30.8Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61Unverified